Transmit power and bits/channel use adaption in competitive cognitive radio networks

2017 ◽  
Vol 24 ◽  
pp. 123-130
Author(s):  
Lutfa Akter ◽  
Neelanjana Subin Ferdous ◽  
Zobaer Ahmed
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Transmit Power

scholarly journals AN-Aided Transmit Beamforming Design for Secured Cognitive Radio Networks with SWIPT

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Weili Ge ◽  
Zhengyu Zhu ◽  
Zhongyong Wang ◽  
Zhengdao Yuan
Keyword(s):  
Cognitive Radio ◽  
Iterative Algorithm ◽  
Cognitive Radio Networks ◽  
Optimization Design ◽  
Original Problem ◽  
Radio Networks ◽  
Artificial Noise ◽  
Transmit Beamforming ◽  
Transmit Power ◽  
Single Antenna

We investigate multiple-input single-output secured cognitive radio networks relying on simultaneous wireless information and power transfer (SWIPT), where a multiantenna secondary transmitter sends confidential information to multiple single-antenna secondary users (SUs) in the presence of multiple single-antenna primary users (PUs) and multiple energy-harvesting receivers (ERs). In order to improve the security of secondary networks, we use the artificial noise (AN) to mask the transmit beamforming. Optimization design of AN-aided transmit beamforming is studied, where the transmit power of the information signal is minimized subject to the secrecy rate constraint, the harvested energy constraint, and the total transmit power. Based on a successive convex approximation (SCA) method, we propose an iterative algorithm which reformulates the original problem as a convex problem under the perfect channel state information (CSI) case. Also, we give the convergence of the SCA-based iterative algorithm. In addition, we extend the original problem to the imperfect CSI case with deterministic channel uncertainties. Then, we study the robust design problem for the case with norm-bounded channel errors. Also, a robust SCA-based iterative algorithm is proposed by adopting the S-Procedure. Simulation results are presented to validate the performance of the proposed algorithms.

scholarly journals Robust Trajectory and Transmit Power Optimization for Secure UAV-Enabled Cognitive Radio Networks

2020 ◽  
Vol 68 (7) ◽  
pp. 4022-4034 ◽  
Author(s):  
Yifan Zhou ◽  
Fuhui Zhou ◽  
Huilin Zhou ◽  
Derrick Wing Kwan Ng ◽  
Rose Qingyang Hu
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Power Optimization ◽  
Radio Networks ◽  
Transmit Power
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